AI Case Study

Biogen to design individualized treatment plans for newly diagnosed patients with providers using machine learning

Prognos has built a vast database of diseases and treatments including laboratory results and clinical diagnostic data. Biogen uses the database and machine learning to identify effective treatment plans for newly diagnosed patients enhancing treatment decision-making, risk management, and quality improvement.

Industry

Healthcare

Healthcare Equipment And Supplies

Project Overview

"Prognos strives to improve health by tracking and predicting disease earlier in partnership with Life Sciences brands, payers, and clinical diagnostics organizations. Prognos' innovations enhance the value of laboratory results and clinical diagnostic data through advanced analytics and artificial intelligence techniques.

The Prognos Registry of 5 billion clinical records for 100 million patients in over 30 disease areas enables earlier identification of patients who can benefit from enhanced treatment decision-making, risk management, and quality improvement under the HEDIS guidelines. "

Reported Results

Research; Results not yet disclosed.
However early diagnosis, identifying effective treatment plans and improved patient care are expected outcomes.

Technology

Over 500 HIPAA compliant proprietary and learning clinical algorithms

Function

R And D

Product Development

Background

Biogen with its focus on neurological diseases can leverage the vast data and analytical capabilities of Prognos to offer better care for patients

Benefits

Risk reduction - Patient outcomes

Data

The Prognos Registry of 5 billion clinical records for 100 million patients in over 30 disease areas